Looking beyond averages in the trade and poverty debate
Abstract
There has been much debate about how much poor people in developing countries gain from trade openness, as one aspect of"globalization."The author views the issue through both"macro"and"micro"empirical lenses. The macro lens uses cross-country comparisons and aggregate time series data. The micro lens uses household-level data combined with structural modeling of the impacts of specific tradereforms. The author presents case studies for China and Morocco. Both the macro and micro approaches cast doubt on some wide generalizations from both sides of the globalization debate. Additionally the micro lens indicates considerable heterogeneity in the welfare impacts of trade openness, with both gainers and losers among the poor. The author identifies a number of covariates of the individual gains. The results point to the importance of combining trade reforms with well-designed social protection policies.Download Info
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Paper provided by The World Bank in its series Policy Research Working Paper Series with number 3461.Length:
Date of creation: 01 Nov 2004
Date of revision:
Handle: RePEc:wbk:wbrwps:3461
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Keywords: Economic Theory&Research; Environmental Economics&Policies; Services&Transfers to Poor; Poverty Monitoring&Analysis; Public Health Promotion; Environmental Economics&Policies; Achieving Shared Growth; Poverty Assessment; TF054105-DONOR FUNDED OPERATION ADMINISTRATION FEE INCOME AND EXPENSE ACCOUNT; Economic Theory&Research;Other versions of this item:
- Ravallion, Martin, 2006. "Looking beyond averages in the trade and poverty debate," World Development, Elsevier, vol. 34(8), pages 1374-1392, August.
- Ravallion, Martin, 2005. "Looking Beyond Averages in the Trade and Poverty Debate," Working Papers RP2005/29, World Institute for Development Economic Research (UNU-WIDER).
- Martin Ravallion, 2010. "Looking Beyond Averages in the Trade and Poverty Debate," Working Papers id:3258, eSocialSciences.
- C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models
This paper has been announced in the following NEP Reports:
- NEP-ALL-2004-12-02 (All new papers)
- NEP-DEV-2004-12-02 (Development)
- NEP-LTV-2004-12-02 (Unemployment, Inequality & Poverty)
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